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Postdoctoral In Bayesian Statistics Jobs in Virginia

General Atomics

Data Scientist III

Charlottesville, VA · On-site

$98K - $171K/yr

Strong preference for PhD in Statistics, Biostatistics, or closely related quantitative field * Dissertation research in Bayesian inference, state-space modeling, sequential estimation, or time ...

General Atomics

Data Scientist III

Charlottesville, VA · On-site

Strong preference for PhD in Statistics, Biostatistics, or closely related quantitative field * Dissertation research in Bayesian inference, state-space modeling, sequential estimation, or time ...

KBR

Data Engineer with Security Clearance

Chantilly, VA · On-site

$100K - $124K/yr

Advanced Statistical knowledge and analysis methods (e.g., Bayesian Statistics, multivariate analysis, machine learning techniques) * Experience in analytical tool development, identification, and ...

KBR

Data Engineer

Chantilly, VA · On-site

$100K - $124K/yr

Advanced Statistical knowledge and analysis methods (e.g., Bayesian Statistics, multivariate analysis, machine learning techniques) * Experience in analytical tool development, identification, and ...

KBR, Inc.

Data Engineer

Chantilly, VA · On-site

$100K - $124K/yr

Advanced Statistical knowledge and analysis methods (e.g., Bayesian Statistics, multivariate analysis, machine learning techniques) * Experience in analytical tool development, identification, and ...

Virginia Tech

Postdoctoral Associate

Blacksburg, VA

Debswapna Bhattacharya's research group in the Department of Computer Science at Virginia Tech ( ... Statistics, Mathematics, Biophysics, Physics, Chemistry, Biology or related fields. PhD must be ...

Virginia Tech

Postdoctoral Associate

Blacksburg, VA · On-site +1

Postdoctoral Associate Apply now Back to search results Job no: 536160 Work type: Research Faculty ... in-situ datasets. The candidate will apply a suite of statistical and physical models for ...

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Postdoctoral In Bayesian Statistics information

What is a Postdoctoral position in Bayesian Statistics?

A Postdoctoral position in Bayesian Statistics is a research-focused role for individuals who have recently completed their PhD in statistics, mathematics, or a related field. These positions involve conducting advanced research using Bayesian methods, which apply probability to infer statistical conclusions. Postdocs often work on developing new Bayesian models, collaborating on interdisciplinary projects, and publishing research findings. Such positions are typically temporary and designed to further prepare researchers for academic, industry, or governmental roles.

What are some common challenges faced by postdoctoral researchers in Bayesian statistics, and how can they be addressed?

Postdoctoral researchers in Bayesian statistics often encounter challenges such as managing complex, high-dimensional data, staying current with rapidly evolving computational methods, and balancing independent research with collaborative projects. Effective strategies include leveraging open-source statistical software, actively participating in seminars and workshops to stay updated, and establishing regular communication with interdisciplinary teams. Building a strong professional network and seeking mentorship within the department can also help in navigating research obstacles and advancing one's career.

What is the difference between Postdoctoral In Bayesian Statistics vs Postdoctoral In Data Science?

AspectPostdoctoral In Bayesian StatisticsPostdoctoral In Data Science
Required CredentialsPhD in Statistics, Mathematics, or related fieldPhD in Computer Science, Statistics, or related field
Work EnvironmentAcademic research, university labsResearch institutions, tech companies, industry labs
Employer & Industry UsageUniversities, research institutesTech firms, finance, healthcare, consulting
Common Search & Comparison IntentSpecialized research roles in Bayesian methodsBroader data analysis and machine learning roles

Postdoctoral In Bayesian Statistics focuses on advanced research in Bayesian methods within academic settings, requiring deep statistical expertise. In contrast, Postdoctoral In Data Science covers a broader range of data analysis techniques, including machine learning, often in industry environments. Both roles require a PhD but differ in application focus and work environment.

What are the key skills and qualifications needed to thrive as a Postdoctoral Researcher in Bayesian Statistics, and why are they important?

To thrive as a Postdoctoral Researcher in Bayesian Statistics, you need an advanced degree (typically a PhD) in statistics or a related field, with strong expertise in Bayesian inference and probabilistic modeling. Proficiency with statistical programming languages such as R, Python, or Stan, and experience with specialized Bayesian analysis software are highly valued. Excellent problem-solving skills, collaboration, and the ability to communicate complex statistical concepts clearly are standout soft skills for this role. These skills and qualities are crucial for conducting rigorous research, publishing impactful results, and contributing effectively to scientific teams.
What are popular job titles related to Postdoctoral In Bayesian Statistics jobs in Virginia? For Postdoctoral In Bayesian Statistics jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Postdoctoral In Bayesian Statistics jobs in Virginia look for? The top searched job categories for Postdoctoral In Bayesian Statistics jobs in Virginia are:
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Postdoctoral In Bayesian Statistics jobs near you
Infographic showing various Postdoctoral In Bayesian Statistics job openings in Virginia as of July 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 67% In-person, and 33% Remote job distribution.
Safety Statistician, III - Risk & Safety Analysis

Safety Statistician, III - Risk & Safety Analysis

Torc Robotics

Blacksburg, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Job description

About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet the Team
As a Safety Statistician - Risk & Safety Analysis, you will play a critical role in how Torc evaluates, communicates, and makes decisions about the safety of its autonomous driving systems.
You will influence the design and execution of statistically rigorous analyses that inform safety assurance strategies, engineering priorities, and risk-based decision making. Your work will directly influence how safety performance and risk are measured, understood, and acted upon across the organization.
This is a technical role focused on applied statistics and decision support, not dashboarding, experimentation platforms, or generic ML product analytics.
What You'll Do
  • Employ statistically sound analyses to answer high-impact safety and regulatory questions, including how system performance translates to risk
  • Apply statistical methods to quantify and assess risk using a variety of data sources including large-scale time-series data (e.g., vehicle and sensor data) and structured safety datasets
  • Bridge safety and engineering teams by translating complex analyses into information engineers can act on
  • Develop automated, production-ready analysis workflows that support continuous safety monitoring
  • Select and defend appropriate statistical approaches for sparse, noisy, or rare-event data, applying Bayesian and frequentist methods and leveraging machine learning techniques where appropriate
  • Communicate statistically defensible findings to technical leaders, safety stakeholders, and executives

What You'll Need to Succeed
  • Advanced degree in Statistics or a closely related field
  • M.S. with 3+ years of experience, or
  • PhD with 1+ years of experience
  • Strong background in applied statistics, safety analysis, and risk estimation
  • Experience in autonomous vehicles, adjacent safety-critical domains (automotive, aerospace, defense, robotics, rail, etc.), or comparable actuarial experience
  • Experience working with complex, real-world datasets rather than clean or purely academic data
  • Hands-on experience using Python for analysis (SQL and/or R a plus, but not required)
  • Ability to communicate statistical concepts clearly to non-statistical audiences
  • Comfort operating independently as a technical leader in a cross-functional, distributed environment
  • Domain knowledge in Bayesian methods

Bonus Points
  • Experience applying Bayesian methods to estimate risk using disparate data sources (such as simulations and naturalistic driving)
  • Background applying statistics to engineering or physics-based systems
  • Familiarity with time-series analysis, uncertainty quantification, or rare-event modeling
  • Experience supporting executive or external stakeholder decision-making requiring quick turnarounds, balancing analytical rigor with timeliness

Perks of Being a Full-time Torc'r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer match
  • Flexibility in schedule and generous paid vacation (available immediately after start date)
  • Company-wide holiday office closures
  • AD+D and Life Insurance

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: R-102792
Hiring Range for Job Opening
US Pay Range
$145,900-$175,100 USD

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